Stochastic optimal control for traffic signals of asymmetrical intersection

Chengyou Cui*, Heehyol Lee, Chengzhe Xu

*この研究の対応する著者

研究成果査読

1 被引用数 (Scopus)

抄録

In this paper, a real time stochastic optimal control method for traffic signals of asymmetrical intersection is proposed. A modified cellular automaton (CA) traffic model and Bayesian network (BN) model are used to predict the traffic jams. Here, the calculation for priori probabilistic of outflows at different traffic signals is modified based on the actual situation. In addition, PSO algorithm is used to search optimal traffic signals based on the stochastic model. Finally, the effectiveness of the proposed method is shown through simulations at an asymmetrical intersection using a micro-traffic simulator.

本文言語English
ページ(範囲)190-195
ページ数6
ジャーナルArtificial Life and Robotics
20
2
DOI
出版ステータスPublished - 2015 7 1

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)
  • 人工知能

フィンガープリント

「Stochastic optimal control for traffic signals of asymmetrical intersection」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル